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Presentation1_Predicting the Disease Outcome in COVID-19 Po..:

Fernanda Sumika Hojo De Souza (11271561) ; Natália Satchiko Hojo-Souza (9361849) ; Edimilson Batista Dos Santos (11271564)..
https://figshare.com/articles/presentation/Presentation1_Predicting_the_Disease_Outcome_in_COVID-19_Positive_Patients_Through_Machine_Learning_A_Retrospective_Cohort_Study_With_Brazilian_Data_zip/15163314. , 2021

Link: https://doi.org/10.3389/frai.2021.579931.s001

RT Journal
T1 <Title>Presentation1_Predicting the Disease Outcome in COVID-19 Positive Patients Through Machine Learning: A Retrospective Cohort Study With Brazilian Data.zip</Title>

UL https://suche.suub.uni-bremen.de/peid=base-ftsmithonian:oai:figshare.com:article_15163314&Exemplar=1&LAN=DE
				
A1 Fernanda Sumika Hojo De Souza (11271561)
A1 Natália Satchiko Hojo-Souza (9361849)
A1 Edimilson Batista Dos Santos (11271564)
A1 Cristiano Maciel Da Silva (11271567)
A1 Daniel Ludovico Guidoni (10326085)
YR 2021
K1 Artificial Intelligence and Image Processing
K1 Knowledge Representation and Machine Learning
K1 Applied Statistics
K1 Computational Linguistics
K1 COVID-19
K1 prediction model
K1 disease outcome
K1 machine learning
K1 Brazil
JF https://figshare.com/articles/presentation/Presentation1_Predicting_the_Disease_Outcome_in_COVID-19_Positive_Patients_Through_Machine_Learning_A_Retrospective_Cohort_Study_With_Brazilian_Data_zip/15163314
LK http://dx.doi.org/https://doi.org/10.3389/frai.2021.579931.s001
DO https://doi.org/10.3389/frai.2021.579931.s001
SF ELIB - SuUB Bremen

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